skysight-inc/HackerNews huggingface dataset:
Tried having it generate German puzzles (normal sentence with a missing word like "der" or "dem" or so) after someone blogged about that it would be worth like 90% of a language teacher for 1% of the price. I'm not very good at German but most things it proposed seemed wrong to me. The whole point is that I don't have to talk to a native speaker but I decided to show the conversation to one who then said something like "yeah no, you're correct half the time and the computer is wrong even more times"

Maybe I should feed it bits from Wikipedia and have it censor word classes for me (or is part-of-speech identification by human-made algorithms reliable?), but that's a lot more involved to code up than prompting it "hey just do this task". I'm sure I'm just holding it wrong and it can be a useful language teacher in some way, e.g. I have had good results with 1:1 translations, but don't expect it just does what you ask it when you can't verify the result
They had that cert for the last ~3 years and were audited yearly and had a standard package to share with clients so doubt there's much to this rumor
Thank you for asking! My phrasing may not have been the most clear.

My background is in humanities and health care. I currently work in eldercare. Computers have always been a major interest of mine since an early age, but professionally I have taken another route. I have a general curiosity about systems and theories of different kinds. I do have an education in the basic scientific approach, something I acquired while studying to become a teacher. Soft sciences have often come more easily to me. I lack the benefits of a disciplined study of computer science, something I am sure affects my approach.

My use of the word 'emergent' was inspired by systems theory [0], where the whole is more than the sum of its parts. The parts of a system create emergent behaviors or phenomena. For example: A football team consists of several players, and the strategy of the teamwork is an emergent phenomenon. Similarly, my thought was that when functions are spread out into several modules, they may create unexpected emergent complexity. Without being able to give a concrete example off the top of my head, I think I have struggled with bugs born out of such complexity.

My thought was that the "syntactical encapsulation" (the actual code we write) may not serve the "conceptual class" (the idea we have). We may have a good concept, but we distribute its functionality among too many classes.

[0] https://en.wikipedia.org/wiki/Systems_theory
Yes, the climate boogeyman shows up as a common anti-tech trope since most people don’t look into the breakdown of emissions. Basically everything in direct consumer control pales in comparison to transit (car/truck/boat/plane).

Speed and scale has a good breakdown: https://speedandscale.com/tracker/

Plus most new AI datacenters are trying to go pure nuclear wherever possible
Yes, as always it’s risky to use a LLM for something you’re not already familiar with. I guess for English or Spanish it’s good because it has a large corpus, but for a smaller language like Italian it’s quite bad.
True, but its not efficient in terms of my time. It may not be true for all systems? The goods will also (hopefully, as the alternative is worse) be resold so there will be a second trip out.
I also know how important the right tools are. I should’ve been using vi.
Probability Probably Doesn't Exist
I would say human behavior is less predictable. That is one of the reasons why today it is rather easy to spot the bot responses, they tend to fit a certain predictable style, unlike the more unpredictable humans.
"People waste energy and time applying for them, following up with hiring managers who aren’t actually hiring, and preparing for interviews that aren’t going to happen. That’s exhausting and demoralizing."

Most importantly, it's fraud and theft. It's time people took a much harder stand against entities who deliberately steal their time. Call them out and make it as unpleasant as possible for these scumbags (not that this amounts to much).
MiB working set on a 64 GiB machine (2023)
I think I agree with you here.

However, one cannot use Reddit currently without seeing 42 smiling pictures of a murderer, with thousands of fawning comments.

Many are bots, manipulating people on social media. Unfortunately, too many people are pulled into that bubble and become convinced it represents reality. It doesn't anymore than the flood of Harris posts that suddenly stopped on a dime election night, leaving millions of young people wondering where all the support went (not realizing the support was never there to begin with).
First off, you can't enforce it without making tradeoffs. To some people, the tradeoffs will be acceptable, to others they won't.

One method would be to require a deposit on job postings. Make it costly to post, but return the money when it's taken down - same concept as a bottle deposit.

Depending on the cost, this may or may not unequally impact small businesses - though one could make the cost proportional to the companys employees.
Shifty Shades of Grey: Different risk profiles of dark fleets explained [pdf]
For Mixture of Expert models (like GPTs are), they can produce different results for an input sequence if that sequence is retried together with a different set of sequences in its inference batch, because of the model (“expert”) routing depends on the batch, not the single sequence: https://152334h.github.io/blog/non-determinism-in-gpt-4/

And in general, binary floating point arithmetic cannot guarantee associativity - i.e. `(a + b) + c` might not be the same as `a + (b + c)`. That in turn can lead to the model picking another token in rare cases (and it’s auto-regressive consequences, that the entire remainder of the generated sequence might differ): https://www.ingonyama.com/blog/solving-reproducibility-chall...

Edit: Of course, my answer assumes you are asking about the case when the model lets you set its token generation temperature (stochasticity) to exactly zero. With default parameter settings, all LLMs I know of randomly pick among the best tokens.
> With all respect and love to the OP, I must admit that I laughed out loud when I saw the AWS architectural diagram

OP actually did it more efficiently than most! You should see the AWS suggested architecture. It uses something like 10 different AWS services.

My company actually set out to solve this very problem. We have a cloud cron hosting that's more reliable than the AWS architecture but just requires a few lines of code. Literally this is all you have to do:

@DBOS.scheduled('* * * * *')

@DBOS.workflow()
def example_scheduled_workflow(scheduled_time: datetime, actual_time: datetime):
DBOS.logger.info("I am a workflow scheduled to run once a minute.")

https://github.com/dbos-inc/dbos-demo-apps/blob/main/python/...
In this scenario, has megacorp proved the art is theirs? Because, if so, how, and if not, then surely the original claim isn't unambiguously fraudulent?
Just curious; what kind of signals would be uni-directionally beaming upwards? For communicating with aircrafts that directly hover above the base? Wouldn't that be really limiting in terms of usefulness?
The 100x is not a valuation metric but instead based on profit returned to shareholders.

So they haven’t even scratched the surface of that given they are widely unprofitable.
same here. and my spouse signed up for the year to get taxes done quickly because we had an issue with 2023 -- and he hated them. I have used them for years. now I'm just at a loss. I don't know how to get money back. I'm sick.
I was trained from the beginning of my career to do this, and trained to teach the same thing to the people reporting to me. It makes us all think harder, empowers lower-level people to make an impact, etc. Recently, though, I had someone convince me that it's not necessarily the best organizational practice.

Essentially, there are sometimes big, systemic, intractable problems that lower-level people might see but not have the perspective, experience, etc. to even begin coming up with a solution. Higher-level people might have the perspective and experience but not see those problems (especially as each layer of the hierarchy acts a filter or sugar-coating mechanism for bad news as it moves upwards). If you tell people not to report problems unless they have a solution, and summarily dismiss anyone who does so, some serious problems might just be left rotting.

> What am I going to do if I agree with you?

A reasonable response to this might actually be, "I don't know; isn't that why you get paid the big bucks and I don't?"

Reporting problems with proposed solutions should be encouraged, but there shouldn't be a blanket statement of "Don't bring a me problem unless you have a proposed solution!" An executive can simply ask, "Do you have a proposal?" and if the answer is negative the executive can say, "I understand, interesting, thanks for reporting this. I'll keep it in mind / assign someone more senior on my staff to look into it / etc."
>Purported that Russians coerced Ukraine to take the blame.

Now that was funny.
Great breakdown of the "architectural decision log" for the evolution of this system.

> This model broke down when we added backpressure and resilience patterns to our agents. We faced new challenges: what happens when the third of five LLM calls fails during an agent’s decision process? Should we retry everything? Save partial results and retry just the failed call? When do we give up and error out?”

> We first looked at ETL tools like Apache Airflow. While great for data engineering, Airflow’s focus on stateless, scheduled tasks wasn’t a good fit for our agents’ stateful, event-driven operations.

> I’d heard great things about Temporal from my previous teams at DigitalOcean. It’s built for long-running, stateful workflows, offering the durability and resilience we needed out of the box.

I would also have reached for workflow engines here. But I wonder if Actor frameworks might actually be the sweet spot; something like Erlang's distributed actor model could be a good fit. I'm not familiar with a good distributed Actor framework for Python but there's of course Elixir, Actix, Akka in other stacks.

Coming from the other direction, I'm not surprised that Airflow isn't fit for this purpose, but I wonder if one of the newer generation of ETL engines like Dagster would work? Maybe the workflow here just involves too many pipelines (one per customer per Agent, I suppose), and too many Sensor events (each Slack message would get materialized, not sure if that's excessive). Could be a fairly substantial overhaul to the architecture vs. Temporal, but I'd be interested to know if anyone has experimented with this option for AI workflows.
Do you not understand the difference between Wordpress.org and Wordpress.com/automattic?
It's deeply saddening to see how fixated people are on the here-and-now, while ignoring the terrifying rate of progress, and its wide-ranging implications.

We've gone from people screeching "deep learning has hit its limits" in 2021 to models today that are able to reason within limited, but economically relevant contexts. And yet despite this, the same type of screeching continues.
What to use for building a second brain?
this is for people suffering from information fatigue...

if you feel like you're consuming far more knowledge than you can retain, the solution is not to try remember more, but offload much of what you already know to trusted systems.

i learned that, besides psychedelics, one possible practice that could expand consciousness is 'personal knowledge management'.

here, 'expand consciousness' just means:
• ability to retain more information
• create more connections between things we consume

the brain is just a vast network of connections between pieces of information. Similarly, by offloading what you already know to external systems, you can slowly build what could be a 'second brain'.

in this sense, a second brain could be a powerful tool to help manage and even actively create connections between things we learn everyday.

many software tools (powerful notes apps) that enable that type of thing today.

i wonder what are some of the tools people here use for building a second brain? if any
Especially given his whole cult of personality schtick
The ratio is around 365.2422. Calling it 365 is too crude. Julius Caesar said we should call it 365 1/4, and that was good enough for a while.

This is blowing my mind that thousands of years ago they were able to measure the orbits to this level of accuracy.
I'd just point out that assassination doesn't have to be logical activity.

Mohammed bin Salman and the Saudi government were aware of the repercussions of murdering Jamal Khashoggi, if it were found out, but went ahead and did it anyway.
A non-trivial percentage of young Trump voters also supported the UHC assassination, presumably from some kind of general anti-institution vibe
> IMO it is sad that the sort of… anti-establishment side of tech has suddenly become very worried about copyright.

Remember Napster? Like how rebellious was that shit? Those times are what a true social upsetting tech looks like.

You cannot even import a video into OpenAI’s Sora without agreeing to a four (five?) checkbox terms & conditions screen. These LLM’s come out of the box neutered by corporate lawyers and various other safety weenies.

This shit isn’t real until there are mainsteam media articles expressing outrage because some “dangerous group of dark web hackers finished training a model at home that very high school student on the planet can use to cheat on their homework” or something like that. Basically it ain’t real until it actually challenges The Man. That isn’t happening until this tech is able to be trained and inferenced from home computers.
Hideo Kojima – 1999 Developer Interview
Thanks, I have heard a lot of good words about this book.
Some of the reasons reported for having ghost jobs listed seem morally acceptable for example:

> They’re “always open to new people”: The organization is always on the lookout for potential candidates for future roles, whether or not they’re actively hiring at the moment. This was true of 50% of respondents in one survey from Clarify Capital.

Perhaps a note on the posting could help.

I'm noticing nothing in this article about justification about hiring on visa, which seems like a scummy behavior that would have been relevant.
> Many of these neural network systems are stochastic, meaning that providing the same input will not always lead to the same output.

The neural networks are not stochastic. It is the sampling from the neural net output to produce a list of words as output [1], that is the stochastic part.

[1] https://gist.github.com/kalomaze/4473f3f975ff5e5fade06e63249...
Really need scrollback search though. Was a bit surprised it was launched without that.
The EU will play favorites. There will be a slap on the wrist. Some probation. Maybe a CEO or high level C* person will step down in disgrace with only a few hundred million in severance. Then everything will go back to normal.
Or liberating... as Douglas Rushkoff puts it.

If and only if something like high-paying UBI comes along, and people are freed to pursue their passions and as a consequence, benefit the world much more intensely.
Related:

Suchir Balaji's mom talks about his life, death, and disillusionment with OpenAI

https://www.businessinsider.com/suchir-balaji-openai-mom-dea...

(https://news.ycombinator.com/item?id=42516784)
They’re scared (as am I) but I have no illusions about the usefulness of these LLMs. Everyone on my team uses them to get their tickets done in a fraction of the time and then just sit around till the sprint ends.
"sending a message to everyone else" - is a pretty big incentive.

Think about Boeing's whistleblowers.

Even if they do not kill them directly, they bury them under so much legal fees that they are financially ruined for life, their career broken and through clandestine PR operations destroy even their social life and public image to make an example of them.
Third episode in the trilogy "The Lord of the Rugs".

Episode III: The Return of the Kwon
I am not OP, but I am interested in those tools and tricks.
Surely that’s not the only alternative? I can think of countless others.

Personally I do not want to start any conspiracies myself by listing them, but this is hardly a binary choice
Which... checks notes... we don't have.

In 2012 the idea of self-driving cars was almost ridiculous, let alone dedicated infrastructure for them. We've had some research papers, and some initiatives have been proposed. I agree that my prediction wasn't "correct", but it was usefully close.

Claude:

Let me think about this step by step:

Let's examine what's impossible first:

The biggest possible volume we can have is 7 gallons (both buckets full)
We can't directly measure 7 gallons since neither bucket has that capacity

However, since we have 2 and 5 gallon buckets, we can't measure 7 gallons in one step. We'll need to add multiple measurements.
Let's solve it:

First, fill the 5-gallon bucket (5 gallons)
Then fill the 2-gallon bucket (2 gallons)
When both buckets are full, we have exactly 7 gallons

So the solution is quite straightforward: Simply fill both buckets completely, and you'll have 7 gallons total.
Would you like me to explore any other possible methods or explain why this approach is the most efficient?
It doesn't have to be super, it just has to inflect the long term trend of labor getting less relevant and capital getting more relevant.

We've made an ideology out of denying this and its consequences. The fallout will be ugly and the adjustment will be painful. At best.
the possibility of error is a requirement for AGI

the same foundation that makes the binary model of computation so reliable is what also makes it unsuitable to solving complex problems with any level of autonomy

in order to reach autonomy and handle complexity, the computational model foundation must accept errors

because the real world is not binary
I disagree. Or at least I do for myself. It is the same reason studying physics theory alone is sometimes not enough to "get it". Often to really learn something you need the dirty real-life demo.

You don't have to excessively see hours upon hours of such footage.

But a single harsh and gruesome traffic death footage sure as hell made me more careful in traffic. No amount of crumpled car metal was going to properly internalize in me how sudden and unexpected death can be and how fragile life really is.
Most simple comparisons are flawed. Even just comparing the transistor counts of CPUs with vastly different architectures would be quite flawed.
There's an upside! If they're wrong, and they manage to convince more people—it basically gives you more of an advantage. I don't get into arguments about the utility of LLM technology anymore because why bother?
everything points to the opposite
I'm not sure passion exists in a world without struggle...
Example:

Covid does not hate you, nor does it love you, it simply follows an optimisation algorithm — that of genetic evolution — for the maximum reproductive success, and does so without regard to the damage it causes your body while it consumes you for parts.

Covid is pretty stupid, it's just a virus.

And yet: I've heard the mutation rate is 3.8 × 10e−6 / nucleotide / cycle, and at about 30,000 base pairs and 10e9 to 1e11 virons in an infected person, so that's ~1e8-1e10 mutations per reproductive cycle in an infected person, and that the replication cycle duration is about 10 hours. Such mutations are both how it got to harm us in the first place, why vaccination isn't once-and-done, and this logic also applies to all the other diseases in the world (including bacterial ones, which is why people are worried about bacterial resistance).

As an existence proof, Covid shows how an agent going off and doing its own thing, if it does it well enough, doesn't even need to be smart to kill a percentage point or so of the human species *by accident*.

The hope is that AI will be smart enough that we can tell it: humans (and the things we value) are not an allowed source of parts. The danger happens well before it's that smart… and that even when it is that smart, we may well not be smart enough to describe all the things we value, accurately, and without bugs/loopholes in our descriptions.
Too big to fail and too much of it is state owned, either directly, or through government-owned retirement funds.

The government will investigate itself and find no wrongdoings, let's go after the journalists who committed the ultimate crime: Embarassing Officials.
You’re not kidding about AWS’s own architecture diagrams.
There are some older buildings in urban centers that probably make sense to repurpose without just tearing them down. but the idea that you'd take extraordinary measures to try to repurpose the Sears, JC Penny, and other mall properties around where I live is just silly rather than just starting from scratch--which doesn't seem to be going much of anywhere.
>joint Russian/Ukrainian exercise

Nope, that was Ukrainian exercise
they are not anti business, they are anti-establishment politics. But misunderstand that big business does big politics in 'merica.
On the contrary it's relatively simple to understand how it got there trivially.

Most modern cars, especially ones that fit into more "luxury" brands have an app. That app gives you telemetry and location data for a price. It's rather convenient to be able to pre-condition your car, or figure out where you parked in a massive unlabeled parking lot, etc. This is all consented to, but regardless the data is tracked anyway via some GPS/cell system modern cars have. When you pay for it you get more stuff - anti-theft, better tracking, service tracking, etc.

It's a convenience. I'm not entirely comfortable with it but if you want a better-than-decent car made after 2016 you probably have it on-board and unless you rip the ECM out you're stuck with it. Personally, I'd rather pay BMW, for example, for anti-theft and tracking than pay OnStar or another service that is gonna stick me with a ridiculous contract and stuff my car with even more buttons.
"But he seemed so happy" is said after every suicide. The truth is that we don't know what goes on in peoples' heads and never will. I feel for the parents who are being pulled into these nonsense conspiracy theories started by bored internet commenters.
Victimize a country’s citizens and that country gets pissed. Shocking.
What's your point?
These questions seem to be statements masquerading as questions.
If you're interested in making a survey, I apologize and would recommend using a survey tool instead.
His parents are skeptical it's a suicide and are ordering a second, independent autopsy: https://sfist.com/2024/12/26/parents-of-openai-whistleblower...
> obvious reasons

It's maybe worth mentioning that the obvious reasons almost entirely have to do with the things you'd hit in the air, not once the bullet descended. If everyone on earth suddenly shot upward at around 80 degrees from the ground, you'd expect approximately zero casualties on average from the bullets falling and lethally striking surface objects (there would be a number of welts and bruises as well as minor property damage, but even that is less likely than you might suspect).
Could it tell the difference between a dishwasher and a picture of a dishwasher on a wall? Or one painted onto a wall? Or a toy dishwasher?

There is an essential idea of what makes something a dishwasher that LLM's will never be able to grasp no matter how many models you throw at them. They would have to fundamentally understand that what they are "seeing" is an electronic appliance connected to the plumbing that washes dishes. The sound of a running dishwasher, the heat you feel when you open one, and the wet, clean dishes is also part of that understanding.
Is it not already? :P
that's the goal